• 제목/요약/키워드: analysis parameters

검색결과 18,206건 처리시간 0.042초

회전체 결함 진단을 위한 특징 파라미터 분석 (Feature Parameter Analysis for Rotor Fault Diagnosis)

  • 정래혁;채장범;이병학;이도환;이병곤
    • 한국유체기계학회 논문집
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    • 제15권6호
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    • pp.31-38
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    • 2012
  • Rotor of rotating machinery is the highly damaged part. Fault of 7 different types was confirmed as the main causes of rotor damage from the pump failure history data in domestic and U.S. nuclear. For each fault types, simulation testing was performed and fault signals were collected form the sensors. To calculate the statistical parameters of time-domain & frequency-domain, measured signals were analyzed by using the discrete wavelet transform, fast fourier transform, statistical analysis. Total 84 parameters were obtained. And Effectiveness factor were used to evaluate the discrimination capacity of each parameter. From the effectiveness factor, RAW-P4/RAW-P7/WT2-NNL/WT2-EE/WT1-P1 showed high ranking. Finally, these parameters were selected as the feature parameters of intelligent fault diagnostics for rotor.

공기조화 취출구 소음 평가를 위한 물리지수 분석 (Analysis of Physical Parameters for the Evaluation of HVAC Diffuser Noise)

  • 박현구;김항;고성석;김선우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2006년도 춘계학술대회논문집
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    • pp.402-405
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    • 2006
  • The diffuser noise of HVAC(heating ventilating and air-conditioning) uses dB(A) or NC as a indoor noise criteria that ASHRAE represents, and there is no specific guide line for application. According to the previous study, there are some problems like that even though the sound level of sound source is same, the NC shows different values, which makes the noise rating confused. This problem is caused by the frequency characteristics of sound source and its sound level. Therefore, appropriate evaluation method should be considered based on the subjective responses. This study aims to analyze the physical parameters appropriate for the evaluation of HVAC diffuser noise. To achieve this, recording of sound sources, calculation of physical parameters and psycho-acoustic experiment were carried out and the results were derived from the correlation analysis between physical parameters and subjective evaluatio

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토션빔 후륜 현가장치의 기구학적 특성 해석 (Kinematic Analysis of Torsion Beam Rear Suspension)

  • 강주석
    • 한국자동차공학회논문집
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    • 제12권5호
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    • pp.146-153
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    • 2004
  • Torsion beam rear suspension has been widely adopted to the rear suspension of vehicle by reason of simple structure and cost competitiveness. Since the kinematic characteristics of torsion beam rear suspension are determined by elastic behavior of torsion beam, quasi-static analysis based on finite element modeling of torsion beam has been conducted to obtain the kinematic parameters of torsion beam rear suspension. In this paper, simple kinematic equations with rear geometric parameters are derived to predict the kinematic behavior of torsion beam rear suspension. The suspension design parameters such as roll center height, roll stiffness, roll steer and roll camber can be easily obtained with the kinematic equations. The suggested kinematic equations are validated from comparison with the test results and solution offered by ADAMS. The suspension design parameters varied with the position of torsion beam are discussed.

전자회절을 이용한 격자상수의 측정 정확도 향상 (Accuracy Improvement of Lattice Parameters Measured from Electron Diffraction Data)

  • 이상길;송경;김진규
    • Applied Microscopy
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    • 제41권1호
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    • pp.75-79
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    • 2011
  • For quantitative analysis of nano-crystal structure, we reported the accuracy improvement method of lattice parameters measured from electron diffraction. For calculation of Au lattice parameters used as a standard crystal structure, it was considered two different acquisition methods (detector and enegy-filter) and three different calculation methods (conventional, least-square and regression fit). As a result, the measurement reliability could be enhanced by using CCD camera which gives higher performance, while energy-filtering did not affect the improvement the camera constant accuracy. Also, the accuracy of lattice parameters could be improved up to $10^{-4}$ order by regression fitting with correction formula. Finally, it is expected that the combination of regression fitting and intensity extraction from energy-filtered precession electron diffraction gives a solution of quantitative structure analysis for unknown nano-crystals.

마이크로 가스터빈 발전시스템의 운전성능 분석 (Analysis of Operation Performance of a Micro Gas Turbine Generator System)

  • 이종준;김동섭
    • 유체기계공업학회:학술대회논문집
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    • 유체기계공업학회 2004년도 유체기계 연구개발 발표회 논문집
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    • pp.132-139
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    • 2004
  • This study aims to analyze operating performance of a micro gas turbine with the aid of detailed measurements of various system parameters. In addition to embedded measurements, parameters such as exhaust temperatures, engine inlet temperatures and fuel flow rates are measured Variations in measured data and estimated performance parameters are analyzed. Those data are processed to calculate losses along the power transmission line and the net gas turbine performance (power and efficiency based on the gas turbine shaft end) is isolated from the overall system performance. On the basis of the measured data, analytical approach is tried to estimate design characteristic and performance parameters such as component efficiencies and unmeasured temperatures.

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Hydroforming 공정변수의 영향 (Effect of Process Parameters on Hydroforming)

  • 권재욱;명노훈;이경돈
    • 소성∙가공
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    • 제9권6호
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    • pp.615-623
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    • 2000
  • The industrial application of hydroforming has a great potential in saying cost and achieving dimensional accuracy in automotive industry presently. The aim of the following article is to investigate the effect of process parameters on hydroformed part. Firstly, we have to investigate the change of mechanical properties for sheet and pipe material according to various radius/thickness ratio(r/t). The change of mechanical properties affects the yield stress more than the total elongation. Increase of yield stress for pipe has a bad influence on formability of hydroforming. Among the roll-forming process, the sizing process didn't change mechanical properties. The process parameters such as the initial pressure, mandrel shape and friction have seriously influenced on formability of hydroforming. Therefore we need to check formability of given material through the FE analysis in the beginning stage of process design and the predicted hydroforming process parameters ate generally a good starting point for the prototype tryout stage. The results of pretending, hydroforming analysis using FE model are good agreement with experimental results.

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Circuit Modeling of Interdigitated Capacitors Fabricated by High-K LTCC Sheets

  • Kim, Kil-Han;Ahn, Min-Su;Kang, Jung-Han;Yun, Il-Gu
    • ETRI Journal
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    • 제28권2호
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    • pp.182-190
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    • 2006
  • The circuit modeling of interdigitated capacitors fabricated by high-k low-temperature co-fired ceramic (LTCC) sheets was investigated. The s-parameters of each test structure were measured from 50 MHz to 10 GHz, and the modeling was performed using these measured sparameters up to the first resonant frequency. Each test structure was divided into appropriate building blocks. The equivalent circuit of each building block was composed based on the partial element equivalent circuit (PEEC) method. Modeling was executed to optimize the parameters in the equivalent circuit of each building block. The validity of the extracted parameters was verified by the predictive modeling for the test structures with different geometry. After that, Monte Carlo analysis and sensitivity analysis were performed based on the extracted parameters. The modeling methodology can allow a device designer to improve the yield and to save time and cost for the design and manufacturing of devices.

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음향신호의 분석에 의한 후두질환의 진단에 관한 연구 (A Study on the Diagnosis of Laryngeal Diseases by Acoustic Signal Analysis)

  • 조철우;양병곤;왕수건
    • 음성과학
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    • 제5권1호
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    • pp.151-165
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    • 1999
  • This paper describes a series of researches to diagnose vocal diseases using the statistical method and the acoustic signal analysis method. Speech materials are collected at the hospital. Using the pathological database, the basic parameters for the diagnosis are obtained. Based on the statistical characteristics of the parameters, valid parameters are chosen and those are used to diagnose the pathological speech signal. Cepstrum is used to extract parameters which represents characteristics of pathological speech. 3 layered neural network is used to train and classify pathological speech into normal, benign and malignant case.

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PRO-LOCA를 이용한 원전 배관의 파손확률에 대한 민감도 해석 (Sensitivity Analyses of Failure Probability of Pipes in Nuclear Power Plants using PRO-LOCA)

  • 조영기;김선혜;박재학
    • 한국안전학회지
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    • 제29권3호
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    • pp.136-142
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    • 2014
  • Recently a new version of PRO-LOCA program was released. Using the program, failure probability of pipes can be evaluated considering fatigue and/or stress corrosion crack growth and the effects of various parameters on the integrity of pipes in nuclear power plants can be evaluated quantitatively. The analysis results can be used to establish an inspection plan and to examine the effects of important parameters in a maintenance plan. In this study, sensitivity analyses were performed using the program for several important parameters including sampling method, initial crack size, number of initial fabrication flaws, operation temperature, inspection interval, operation temperature and nominal applied bending stress. The effect of parameters on the leak and rupture probability of pipes was evaluated due to fatigue or stress corrosion crack growth.

서천화력 발전기 및 제어시스템 모델링 (Power Generation Unit Modelling in Thermal Power Plant)

  • 김용학;김태균;추진부;주준영;송석하
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 A
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    • pp.15-18
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    • 2003
  • This paper provides the procedure to derive model parameters from the field tests. Since the accuracy of power system analysis depends on the accuracy of models used to represent the generation units, the reliability of power system analysis could be affected by parameters used in those models. The objective of this paper is to validate and update the models. So the field test had performed for thermal units and adjusting the variables to match with the measured values derived their model parameters. And the model parameters are verified by comparing the variables between models.

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